Harm caused by design or manufacturing defects: In the context of AI-enabled products, what does product
Product liability law addresses harm from defective design, manufacturing, or warnings, and can apply where an AI component makes a product unsafe.
The question
In the context of AI-enabled products, what does product liability law primarily address?
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- Harm caused by design or manufacturing defects in a product, including AI components that make it unsafe or that fail to perform as a reasonable user would expect. ✓Correct: product liability targets defective design, manufacturing, or inadequate warnings that render a product unsafe, and AI can be the defective element causing harm.
- The lawful basis and purpose limitation that a controller must satisfy before it first collects the personal data used to train or operate the AI component of a product.Plausible because lawful basis is a real requirement, but that is data-protection law, not the product-safety and defect focus of product liability.
- The disclosure duties that require a provider to label AI-generated content and to tell users when they are interacting with an automated conversational system.Almost right as a real obligation, but transparency labeling stems from AI-specific transparency rules rather than from product liability doctrine.
- The market-classification tiers that sort AI systems into prohibited, high, limited, and minimal risk categories based on their intended purpose and context.Plausible but risk tiering comes from AI-specific regulation such as the EU AI Act, not from product liability law addressing defects.
The trap
Confusing product liability's defect-and-harm focus with privacy or AI-transparency obligations. How to remember it
Product liability law addresses harm from defective design, manufacturing, or warnings, and can apply where an AI component makes a product unsafe.
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